##An MT5ForConditionalGeneration trained on 3 tasks from PAN Profiling Hate Speech Spreaders on Twitter dataset (ES):

  • topic attribution - topics were assigned with BertTopic library using embeddings from Hate-speech-CNERG/dehatebert-mono-spanish bert model (train and test sets from the PAN task)

  • hate speech identification (train set from the PAN task)

in order to generate tone of comment use prefix hater classification:


Select AutoNLP in the “Train” menu to fine-tune this model automatically.

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